Skip to main content

Integrating with Mistral in Orkes Conductor

To effectively utilize AI and LLM tasks in Orkes Conductor, it's essential to integrate your Orkes Conductor cluster with the necessary AI and LLM models.

Mistral AI offers a range of models that can be incorporated into the Orkes Conductor cluster. The choice of model depends on your unique use case, the functionalities you require, and the specific natural language processing tasks you intend to tackle.

This guide will provide the steps for integrating the Mistral provider with Orkes Conductor.

Steps to integrate with Mistral​

Before beginning to integrate with Mistral, you need to generate the API key & get the API endpoint from the Mistral console.

To get the API key:

  1. Log in to the Mistral console.
  2. Navigate to API keys and generate the API key.

Integrating with Mistral as a model provider​

Let’s integrate Mistral with Orkes Conductor.

  1. Navigate to Integrations from the left menu on your Orkes Conductor cluster.
  2. Click +New integration button from the top-right corner.
  3. Under the AI/LLM section, choose Mistral.
  4. Click +Add and provide the following parameters:

Create Mistral Integration

ParametersDescription
Integration nameA name for the integration.
API KeyThe API key to integrate Mistral with Orkes Conductor. Refer to the previous section on how to generate the API keys.
API EndpointThe API endpoint from your Mistral console. It is of the format: https://api.mistral.ai/v1 for open-source Mistral setup. Check out the official Mistral documentation for more details on getting endpoints for Mistral Cloud.
DescriptionA description of your integration.
  1. You can toggle-on the Active button to activate the integration instantly.
  2. Click Save.

Adding Mistral models to the integration​

Now, you have integrated your Orkes Conductor cluster with the Mistral provider. The next step is integrating with the specific models.

Mistral AI has different models, such as Mistral 7B, Mixtral 8x7B, Mixtral 8x22B, and more. Each model is intended for different use cases, such as text completion and generating embeddings.

Depending on your use case, you must configure the required model within your Mistral configuration.

To add a new model to the Mistral integration:

  1. Navigate to the integrations page and click the '+' button next to the integration created.

Create Mistral Integration Model from Listed Integrations

  1. Click +New model.
  2. Provide the model name and an optional description for the model. The complete list of models in Mistral is available here.

Create Mistral Integration Model

  1. Toggle-on the Active checkbox to enable the model immediately.
  2. Click Save.

This ensures the integration model is saved for future use in LLM tasks within Orkes Conductor.

RBAC - Governance on who can use Integrations​

The integration with the required models is now ready. Next, we should determine the access control to these models.

The permission can be granted to applications/groups within the Orkes Conductor cluster.

To provide explicit permission to Groups:

  1. Navigate to Access Control > Groups from the left menu on your Orkes Conductor cluster.
  2. Create a new group or choose an existing group.
  3. Under the Permissions section, click +Add Permission.
  4. Under the Integrations tab, select the required integrations with the required permissions.

Add Permissions for Integrations

  1. Click Add Permissions. This ensures that all the group members can access these integration models in their workflows.

Similarly, you can also provide permissions to applications.

note

Once the integration is ready, start creating workflows with LLM tasks.